Hypothesis Testing Errors
12th Grade · Math · 60 min
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Learning Objective
I can differentiate between Type I and Type II errors in hypothesis testing.
- 1
A Type I error occurs when the null hypothesis is rejected when it is actually true, whereas a Type II error occurs when the null hypothesis is not rejected when it is actually false.
- 2
The probability of making a Type I error is denoted by alpha, while the probability of making a Type II error is denoted by beta.
- 3
The power of a test is the probability of rejecting the null hypothesis when it is false, and it is calculated as 1 - beta.
